"Understanding Inference Models" matching MCP servers:

Enables AI models to access Swiss weather and climate data from MeteoSwiss, including current observations, forecasts, and warnings.

Enables language models to fetch weather forecasts for Israeli cities by automating a real browser with Playwright to interact with weather2day.co.il, including entering a city, selecting it from autocomplete, and extracting the forecast content.

MCP server connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

Provides a Model Context Protocol server that enables large language models to query and retrieve real-time weather forecasts for cities and regions across China.

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.

EU Crop Intelligence MCP Server — Yield forecasts, weather analysis, and phenology models for 15 countries. AI agent-native, multi-source intelligence (NASA POWER, Eurostat, Open-Meteo).

Enables any MCP-compatible assistant to plan sailing passages using wind and sea forecasts, with boat-specific polars, per-leg ETAs, complexity scores, and deep links to interactive plans. Works globally, with higher-resolution models over France, and supports multi-day departure window comparisons.

Provides real-time weather information for any location using the Open-Meteo API, enabling AI models to query current weather data through the Model Context Protocol.

Provides access to real-time weather forecasts and grid data from GFS/ECMWF models via the Pirate Weather API, enabling AI agents to retrieve weather information using natural language.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

An MCP server that analyzes upcoming weather at alpine peaks and trailheads worldwide, ranking the best windows for climbing and ascent using high-resolution forecast models.

Enables querying historical and future climate projections (1950–2050) for temperature and precipitation, and comparing climate models to assess agreement and uncertainty.

A FastMCP server that provides weather-related tools using the QWeather API, enabling language models to query real-time weather, forecasts, warnings, and indices.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.